Turn inconsistent product details into records your team can filter, compare, and build with. Categories, attributes, and matching variants in one ecommerce model.
Product data enrichment
Aero Run 01
Footwear / Athletic shoes / Running shoes
Normalized fields alongside the original page data.
Turn page content into consistent categories, attributes, variants, and identifiers. Keep the original content alongside normalized fields.
240
Running-shoe records in this selection
3 selected stores · US / USD
Latest observations · 08 Sep
Filter your product records by category, brand, and price tier. Keep the selected stores and observation window visible.
176
Product records · Example Co.
Category breakdown · Selected stores · 08 Sep
Break an observed brand catalog down by category and attributes, then compare the mix across your selected stores.
Start with what you have
Already have product data? Import your catalog file, then enrich the valid records through the same pipeline as extracted pages. You do not need to crawl your own storefront first.
Add competitor pages to compare product details, prices, and availability around your catalog. A shared structure means your team can reuse the same filters across stores.
A lower price is only useful when the products match. Enrich uses identifiers, product details, and selected options to connect equivalent variants while keeping each store’s listing.
Size, color, width, and material stay with the variant. Compare the configuration your customer would actually buy.
Price, currency, seller, availability, and observation time remain attached to the offer.
Review the original records and matching coverage. Incomplete product details can leave records unmatched.
Use a shared taxonomy and category attributes instead of remapping every merchant’s navigation.
Start with your product data or a public store URL. Give your team consistent records and matching variants to build on.
7-day free trial · 5,000 credits
